Documentation

Documentation Type

Ok

Cancel

Programming Language

Ok

Cancel

Tools

Ok

Cancel

Applied Filters

Wireless Network Ready Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

Driver Management

Driver Management Reference Implementation is designed to detect and track driver behavior and actions to help prevent dangerous situations.

Real-time Sensor Fusion for Loss Detection allows you to deploy sensor fusion technology for loss detection at self-checkout.

Rotor Bearing Defect Detector

This reference implementation provides an AI-enabled approach to prediction and detection of bearing failure by analyzing vibration data.

Intelligent Traffic Management

Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

Automated Checkout

Designed to provide the base components for creating a framework to run a CV-powered Automated Checkout

Intel® Connected Logistics Platform (Intel® CLP) was developed to offer real-time asset tracking solution for the logistics industry.

This is a Transformer LT MLPerf FP32 training container optimized with TensorFlow*.

This is a Transformer LT MLPerf FP32 training model package optimized with TensorFlow* for bare metal.

This is a DLRM BFloat16 training container optimized with PyTorch*.

This is a RFCN Int8 inference model package optimized with TensorFlow* for bare metal.

This is a SSD-MobileNet Int8 inference model package optimized with TensorFlow* for bare metal.